Industrial category determination method and device, storage medium and electronic equipment

Abstract

The invention relates to an industry category determination method and device, a storage medium and electronic equipment, and relates to the technical field of electronic information, and the method comprises the steps: obtaining target enterprise text information; extracting a first enterprise keyword from the target enterprise text information; matching the first enterprise keyword with a predetermined keyword library, and combining or splitting the first enterprise keyword which fails in matching to obtain a second enterprise keyword; inputting the prediction sample into a classification model determined based on a keyword library to obtain an industry category of the target enterprise; wherein the prediction sample comprises a second enterprise keyword. And the second enterprise keyword obtained after combination or splitting can reflect stronger industry characteristics. And inputting the second enterprise keyword into a classification model trained based on a keyword library, thereby obtaining the industry category of the target enterprise. Therefore, the accuracy of industry classification of the target enterprise can be effectively improved.

Description

technical field [0001] The present disclosure relates to the field of electronic information technology, in particular, to a method, device, storage medium and electronic equipment for determining an industry category. Background technique [0002] With the continuous development of the market economy, the number of enterprises in various industries has increased dramatically. In order to facilitate users to locate target enterprises from many enterprises, it is necessary to classify enterprises by industry, so that users can quickly locate target enterprises according to industry categories. [0003] At present, the industry classification method for enterprises is mainly to segment the target enterprise text information according to the preset fixed segmentation granularity, and input the segmented target enterprise information text into the classification model to obtain the classification result output by the classification model , which is the industry category of the t...

AI Technical Summary

Problems solved by technology

However, in this method, since the text information of the target enterprise is segmented according to a fixed segmentation granularity, the segmented words may lack industry characteristics, resulting in low classification accuracy.

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